Search Results - Stowers, Casey E.

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  1. 1
    Combining Biology-based and MRI Data-driven Modeling to Predict Response to Neoadjuvant Chemotherapy in Patients with Triple-Negative Breast Cancer

    Combining Biology-based and MRI Data-driven Modeling to Predict Response to Neoadjuvant Chemotherapy in Patients with Triple-Negative Breast Cancer by Stowers, Casey E, Wu, Chengyue, Xu, Zhan, Kumar, Sidharth, Yam, Clinton, Son, Jong Bum, Ma, Jingfei, Tamir, Jonathan I, Rauch, Gaiane M, Yankeelov, Thomas E

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    Fast model calibration for predicting the response of breast cancer to chemotherapy using proper orthogonal decomposition

    Fast model calibration for predicting the response of breast cancer to chemotherapy using proper orthogonal decomposition by Christenson, Chase, Wu, Chengyue, Hormuth, David A., Stowers, Casey E., LaMonica, Megan, Ma, Jingfei, Rauch, Gaiane M., Yankeelov, Thomas E.

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    Abstract 845: Developing MRI-based digital-twins via mathematical modeling and deep learning to predict the response of triple-negative breast cancer to neoadjuvant therapy

    Abstract 845: Developing MRI-based digital-twins via mathematical modeling and deep learning to predict the response of triple-negative breast cancer to neoadjuvant therapy by Stowers, Casey E., Wu, Chengyue, Kumar, Sidharth, Lima, Ernesto A.B.F., Zu, Xhan, Yam, Clinton, Son, Jong Bum, Ma, Jingfei, Tamir, Jonathan I., Rauch, Gaiane M., Yankeelov, Thomas E.

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    Abstract 5569: Quantification of tumor-associated vasculature as an imaging biomarker for monitoring the response of triple-negative breast cancer to neoadjuvant chemotherapy

    Abstract 5569: Quantification of tumor-associated vasculature as an imaging biomarker for monitoring the response of triple-negative breast cancer to neoadjuvant chemotherapy by Wu, Chengyue, Stowers, Casey E., Xu, Zhan, Lima, Ernesto A. B. F., Yam, Clinton, Son, Jong Bum, Ma, Jingfei, Rauch, Gaiane M., Yankeelov, Thomas E.

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